Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines i...
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' or wants to a
Clawdbot documentation expert with decision tree navigation, search, and doc fetching. And also 50+ models for image generation, video generation, text-to-sp...
Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes
Local document summary tool. Activate when user mentions "总结文件", "帮我总结", "总结文档", "分析文档" or provides a local file path (txt/docx/pdf/xlsx/xls).
Convert documents and files to Markdown using markitdown (PDF, Word, PowerPoint, Excel). And also 50+ models for image generation, video generation, text-to-...
Create and manage task documents in the docs/todo/ workflow. Use when creating new tasks, updating task status, or moving tasks between workflow stages. Provides complete task lifecycle management wit
Master Orchestrator coordinating 10 specialized subagents to produce complete doctorate-level research papers (12,000-15,000 words) in Word document format (...
Comprehensive Mission Control dashboard for OpenClaw - monitor agents, automation, teams, documents, messages, and system metrics. Features real-time dashboa...
Automate client onboarding by processing intake forms, collecting documents, sending welcome emails, creating CRM records, assigning tasks, and sending follo...
Document significant technical decisions with context, rationale, and consequences to maintain clear, lightweight architectural records for future reference.
aws
Ask questions and read documentation about any GitHub repository using DeepWiki MCP. Use when you need to understand a codebase, find specific APIs, or get c...
Expert SurrealDB 3 architect and developer skill. SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema des...
--- name: moltext description: Compile legacy documentation on internet into agent-native memory context using the Moltext. homepage: https://github.com/UditAkhourii/moltext metadata: clawdbot:
Multi-turn PRD (Product Requirements Document) creation assistant. Asks clarifying questions one at a time to gather requirements, then generates a complete,...
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues
Autonomously learn, summarize, and integrate complex technical documentation into system memory and rules to optimize AI task workflows.
Find and remove duplicate files intelligently. Save storage space, keep your system clean. Perfect for digital hoarders and document management.
OpenClaw documentation expert with config references, errata tracking, search scripts, and decision tree navigation
WHAT: Create comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves long-running agent context exhaustion problem. WHEN: (1) User requests
OpenClaw documentation expert — answers user questions about OpenClaw setup, configuration, providers, troubleshooting, and what's new using live doc fetchin...
I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and the data types could be of integer, string, float, or array.
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search resea